Storage and retrieval system case unit detection

ABSTRACT

An automated storage and retrieval system including a storage structure with storage racks having a seating surface configured to support case units where a position of each case unit is nondeterministic for each storage location on the storage racks, each case unit has a predetermined storage position and a controller is configured to determine the predetermined storage position, a picking aisle configured to provide access to the case units within the storage structure, and a seismic disturbance restorative system including seismic disturbance motions sensors disposed on the storage racks, a seismic disturbance control module in communication with the seismic disturbance sensors and configured to identify a seismic disturbance, and an automated case mapper configured to traverse the picking aisle, the automated case mapper being in communication with and initialized by the seismic disturbance control module to identify a seated position of at least one case unit within the storage structure.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. Non-Provisional patentapplication Ser. No. 16/378,333 filed Apr. 8, 2019, (now U.S. Pat. No.10,710,804), which is a continuation of U.S. Non-Provisional patentapplication Ser. No. 16/043,512 filed Jul. 24, 2018, (now U.S. Pat. No.10,252,859), which is a continuation of U.S. Non-Provisional patentapplication Ser. No. 15/722,936 filed Oct. 2, 2017, (now U.S. Pat. No.10,029,850), which is a continuation of U.S. Non-Provisional patentapplication Ser. No. 15/376,251 filed Dec. 12, 2016, (now U.S. Pat. No.9,776,794), which is a continuation of U.S. Non-Provisional patentapplication Ser. No. 15/007,070 filed Jan. 26, 2016 (now U.S. Pat. No.9,517,885), which is a continuation of U.S. Non-Provisional patentapplication Ser. No. 14/618,566 filed Feb. 10, 2015 (now U.S. Pat. No.9,242,800), which is a continuation of U.S. Non-Provisional patentapplication Ser. No. 13/608,877 filed Sep. 10, 2012 (now U.S. Pat. No.8,954,188) which claims priority from and the benefit of U.S.Provisional Patent Application No. 61/533,048 filed Sep. 9, 2011, thedisclosures of which are incorporated herein by reference in theirentireties.

BACKGROUND 1. Field

The exemplary embodiments generally relate to material handling systemsand, more particularly, to automated storage and retrieval systems.

2. Brief Description of Related Developments

Warehouses for storing case units may generally comprise a series ofstorage racks that are accessible by transport devices such as, forexample, fork lifts, carts and elevators that are movable within aislesbetween or along the storage racks or by other lifting and transportingdevices. These transport devices may be automated or manually driven.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing aspects and other features of the aspects of the disclosedembodiment is explained in the following description, taken inconnection with the accompanying drawings, wherein:

FIG. 1 schematically illustrates an exemplary storage and retrievalsystem in accordance with an aspect of the disclosed embodiment;

FIGS. 2A, 2B, 2C and 2D illustrate schematic views of a conveyor systemin accordance with an aspect of the disclosed embodiment;

FIG. 3 schematically illustrates a conveyor system in accordance with anaspect of the disclosed embodiment;

FIG. 4 schematically illustrates a transfer station in accordance withan aspect of the disclosed embodiment.

FIG. 5 illustrates a transport robot in accordance with an aspect of thedisclosed embodiment;

FIG. 6 illustrates partial schematic views of the transport robot ofFIG. 5 in accordance with an aspect of the disclosed embodiment;

FIGS. 7A and 7B illustrate a portion of a transfer arm of the transportrobot of FIG. 5 in accordance with an aspect of the disclosedembodiment;

FIG. 8 schematically illustrates a control system of the transport robotof FIG. 5 in accordance with an aspect of the disclosed embodiment;

FIGS. 9-11 illustrate schematic plan views of storage and retrievalsystems having different configurations in accordance with aspects ofthe disclosed embodiment;

FIG. 12 illustrates a structural portion of a storage and retrievalsystem in accordance with an aspect of the disclosed embodiment;

FIGS. 13A and 13B illustrate storage shelves in accordance with anaspect of the disclosed embodiment;

FIG. 13C is a schematic illustration of an autonomous transport vehicleand a portion of a storage shelf in accordance with an aspect of thedisclosed embodiment;

FIG. 13D is a schematic illustration of sensor output signals inaccordance with an aspect of the disclosed embodiment;

FIG. 13E is a schematic illustration of a portion of a storage shelf andsensor beam in accordance with an aspect of the disclosed embodiment;

FIG. 13F is a flow diagram in accordance with an aspect of the disclosedembodiment;

FIG. 13G is a schematic illustration of a case map in accordance with anaspect of the disclosed embodiment;

FIG. 14A illustrates a conventional organization of item storage in astorage bay;

FIG. 14B illustrates an organization of case units in a storage bay inaccordance with an aspect of the disclosed embodiment;

FIG. 14C illustrates a comparison of unused storage space between theitem storage of FIG. 14A and the item storage of FIG. 14B;

FIG. 15 is a flow diagram of an exemplary method in accordance with anaspect of the disclosed embodiment;

FIG. 16 illustrates a portion of a storage and retrieval system inaccordance with aspects of the disclosed embodiment; and

FIG. 17 is a flow chart of an exemplary method in accordance with anaspect of the disclosed embodiment.

DETAILED DESCRIPTION

FIG. 1 generally schematically illustrates an automated storage andretrieval system 100 (referred to hereinafter as a “storage andretrieval system”) for cases stored in a storage room in accordance withan aspect of the disclosed embodiment. Although the disclosed embodimentwill be described with reference to the drawings, it should beunderstood that the aspects of the disclosed embodiment can be embodiedin many alternate forms. In addition, any suitable size, shape or typeof elements or materials could be used.

In the system shown, the automated storage and retrieval system 100includes a disturbance identification and restorative system 107 (aswill be described in greater detail below). The case units may be storedin the automated storage and retrieval system 100 on the storage rackswhere the storage racks are configured to allow (as will be describedbelow) nondeterministic positioning or placement (e.g. dynamicplacement) of case units everywhere along a seating surface of thestorage racks in any suitable manner for providing unrestrictedplacement of each case unit in the storage racks. The nondeterministicpositioning of the case units allows the case units (for example, storedindividually or grouped together, which are referred to as pickfacesdescribed further below) to have a close packed spacing within thestorage racks that may result in a floating gap between storagelocations of an amount equal to or less than about 3.0 in betweenpickfaces while in other aspects the floating gap may be equal to orless than about 1.0 in between pickfaces (cases within each pickfaceformed of more than one case may be touching without gaps). It is notedthat the only forces holding the case units on the racks may be gravity,inertial and/or frictional forces. The case units may move relative tothe storage rack (e.g. from a predetermined storage location—e.g.pre-disturbance location) during, for example, a disturbance such as aseismic event (e.g. an earthquake) or other event (e.g. collision) thatotherwise imparts dynamic forces that cause movement of the storageracks which in turn may cause movement of the case units. Movement ofthe cases due to, for example, the movement of the storage racks mayaffect the ability of the case units to be retrieved and/or transportedby the transport devices.

It would be advantageous to have a storage and retrieval system that isconfigured to detect displaced case units after a seismic or other event(e.g. an impact from a collision between a transport vehicle and storagestructure) so that the displaced case units can be repositioned withinthe storage and retrieval system.

Generally, during a seismic event case unit movement may occur withinthe storage and retrieval system. The amount of case movement (oracceleration of the cases and/or an area of the storage racks at alocation of a respective case) may be estimated during, for example aworst-case (or any other magnitude) seismic event in any suitable mannerusing, for example dynamic modeling of the storage structure and/orphysical simulation (collectively referred to herein as movementmodels). Movement of the case units may be limited or substantiallynon-existent in some areas of the storage structure due to, for example,localized dynamic behavior while other areas of the storage structuremay experience case movement.

In the event that case movement occurs due to, for example, a seismicevent the cases will be scanned or mapped, as will be described below ingreater detail, to identify, for example, cases that are located in thetravel paths of the bots, cases that have substantially not moved andare still able to be picked by a bot (i.e. still useable by the bot),case units that have moved or shifted on the storage racks but are in aknown state and are useable by the bot, and cases that have moved orotherwise shifted to an unknown state or substantially moved so that thecases cannot be picked by the bot in a useable manner. In accordancewith one aspect of the disclosed embodiment the storage and retrievalsystem 100 may operate in a retail distribution center such as a storeor warehouse to, for example, fulfill orders received from retail storesfor case units (where case units as used herein means case units notstored in trays, on totes or on pallets, e.g. uncontained). It is notedthat the case units may include cases of case units (e.g. case of soupcans, boxes of cereal, etc.) or individual case units that are adaptedto be taken off of or placed on a pallet. In accordance with the aspectsof the disclosed embodiment, shipping cases or case units (e.g. cartons,barrels, boxes, crates, jugs, or any other suitable device for holdingcase units) may have variable sizes and may be used to hold case unitsin shipping and may be configured so they are capable of beingpalletized for shipping. It is noted that when, for example, bundles orpallets of case units arrive at the storage and retrieval system thecontent of each pallet may be uniform (e.g. each pallet holds apredetermined number of the same item—one pallet holds soup and anotherpallet holds cereal) and as pallets leave the storage and retrievalsystem the pallets may contain any suitable number and combination ofdifferent case units (e.g. each pallet may hold different types of caseunits—a pallet holds a combination of soup and cereal). In other aspectsthe storage and retrieval system described herein may be applied to anyenvironment in which case units are stored and retrieved.

The storage and retrieval system 100 may be configured for installationin, for example, existing warehouse structures or adapted to newwarehouse structures. In one aspect of the disclosed embodiment, thestorage and retrieval system may include in-feed and out-feed transferstations 170, 160, multilevel vertical conveyors 150A, 150B, a storagestructure 130, and a number of autonomous vehicular transport robots 110(referred to herein as “bots”). In other aspects the storage andretrieval system may also include robot or bot transfer stations 140(FIG. 4) that may provide an interface between the bots 110 and themultilevel vertical conveyors 150A, 150B. The storage structure 130 mayinclude multiple levels of storage rack modules where each levelincludes respective picking aisles 130A, and transfer decks 130B fortransferring case units between any of the storage areas of the storagestructure 130 and any shelf of any multilevel vertical conveyor 150A,150B. The picking aisles 130A, and transfer decks 130B also allow thebots to place case units into picking stock and to retrieve ordered caseunits. In other aspects, each level may also include respective bottransfer stations 140. The bots 110 may be configured to place caseunits, such as the above described retail merchandise, into pickingstock in the one or more levels of the storage structure 130 and thenselectively retrieve ordered case units for shipping the ordered caseunits to, for example, a store or other suitable location. Bots 110 mayplace case units in sets of one or more cases called a pickface. Thestorage area or space of the storage structure has a substantially openarchitecture, as shown in the figures and as will be described furtherbelow. Uncontained case units may be placed as desired, in asubstantially unconstrained manner, onto seating surfaces of the storagestructure for storage. Though described herein with reference touncontained cases, the case units may also be held on a tote or tray(holding a set of one or more cases) that is transported, picked andplaced on the unconstrained, position undeterministic surface of therack shelves as otherwise described. The in-feed transfer stations 170and out-feed transfer stations 160 may operate together with theirrespective multilevel vertical conveyors 150A, 150B for bi-directionallytransferring case units to and from one or more levels of the storagestructure 130. It is noted that while the multilevel vertical conveyorsare described as being dedicated inbound conveyors 150A and outboundconveyors 150B, in alternate embodiments each of the conveyors 150A,150B may be used for both inbound and outbound transfer of caseunits/case units from the storage and retrieval system.

It is noted that the multilevel vertical conveyors may be substantiallysimilar to those described in U.S. patent application Ser. No.12/757,354, filed on Apr. 9, 2010, the disclosure of which isincorporated by reference herein in its entirety. For example, referringto FIGS. 2A-3, it is noted that the input multilevel vertical conveyor150A and associated in-feed transfer stations 170 will be described,however, the out-feed multilevel vertical conveyors 150B and out-feedtransfer stations 160 may be substantially similar to that describedbelow for their in-feed counterparts but for the direction of materialflow out of the storage and retrieval system 100 rather than into thestorage and retrieval system 100. It is noted that while the multilevelvertical conveyors are described herein as a continuously movingvertical loop type conveyor in other aspects the multilevel verticalconveyors may stop to allow bots to drive on the multilevel verticalconveyor for transferring the bots between storage levels. In stillother aspects the multilevel vertical conveyor may be a reciprocatingtype conveyor or elevator that is configured to either transport bots(which may be carrying case units) between storage levels and/ortransport case units between storage levels where the case units areremoved by the bots on a predetermined storage level. As may berealized, the storage and retrieval system 100 may include multiplein-feed and out-feed multilevel vertical conveyors 150A, 150B that areaccessible by, for example, bots 110 on each level of the storage andretrieval system 100 so that one or more case unit(s), uncontained orwithout containment (e.g. case unit(s) are not sealed in trays), can betransferred from a multilevel vertical conveyor 150A, 150B to eachstorage space on a respective level and from each storage space to anyone of the multilevel vertical conveyors 150A, 150B on a respectivelevel. The bots 110 may be configured to transfer the uncontained caseunits between the storage spaces and the multilevel vertical conveyorswith one pick (e.g. substantially directly between the storage spacesand the multilevel vertical conveyors). By way of further example, thedesignated bot 110 picks the uncontained case unit(s) from a shelf of amultilevel vertical conveyor, transports the uncontained case unit(s) toa predetermined storage area of the storage structure 130 and places theuncontained case unit(s) in the predetermined storage area (and viceversa).

The multilevel vertical conveyors 150A, 150B may be controlled by aserver, such as for example, control server 120, or any other suitablecontroller. One or more suitable computer workstations 700 may beconnected to the multilevel vertical conveyors 150A, 150B and the server120 in any suitable manner (e.g. wired or wireless connection) forproviding, as an example, inventory management, multilevel verticalconveyor functionality and control, and customer order fulfillment. Asmay be realized, the computer workstations 700 and/or server 120 may beprogrammed to control the in-feed and/or out-feed conveyor systems. Inother aspects, the computer workstations 700 and/or server 120 may alsobe programmed to control the transfer stations 140. In one aspect of thedisclosed embodiment, one or more of the workstations 700 and controlserver 120 may include a control cabinet, a programmable logiccontroller and variable frequency drives for driving the multilevelvertical conveyors 150A, 150B. In other aspects the workstations 700and/or control server 120 may have any suitable components andconfiguration. In one aspect of the disclosed embodiment, theworkstations 700 may be configured to substantially remedy anyexceptions or faults in the in-feed and/or out-feed conveyor systemssubstantially without operator assistance and communicate fault recoveryscenarios with the control server 120 and/or vice versa.

Referring now to FIG. 3, above, the multilevel vertical conveyors, suchas conveyor 150A are supplied with uncontained case units 1000 fromin-feed transfer stations 170 (FIG. 1). As described above, the in-feedtransfer stations 170 may include one or more of depalletizingworkstations 210 (FIGS. 9 and 10), conveyors 240, conveyorinterfaces/bot load accumulators 1010A, 1010B and conveyor mechanisms1030. In this aspect of the disclosed embodiment, the accumulators1010A, 1010B are configured to form the uncontained case units 1000 intothe individual bot pickfaces 750-753 prior to loading a respectiveposition A-D on the multilevel vertical conveyor 150A. It is noted thata “pickface” as used herein may be one or more merchandise case unitsplaced one behind the other in a storage space or area of a storageshelf to be used in pick transactions for filling customer orders. Inone aspect of the disclosed embodiment, the computer workstation 700and/or control server 120 may provide instructions or suitably controlthe accumulators 1010A, 1010B (and/or other components of the in-feedtransfer stations 170) for accumulating a predetermined number of caseunits to form the pickfaces 750-753. The accumulators 1010A, 1010B mayalign the case units in any suitable manner (e.g. making one or moresides of the case units flush, etc.) and, for example, abut the caseunits together. The accumulators 1010A, 1010B may be configured totransfer the pickfaces 750-753 to respective conveyor mechanisms 1030for transferring the pickfaces 750-753 to a respective shelf positionA-D.

The bots may be substantially similar to those described in U.S. patentapplication Ser. No. 12/757,312 filed on Apr. 9, 2010, (now U.S. Pat.No. 8,425,173), the disclosure of which is incorporated by referenceherein in its entirety. For example, referring now to FIGS. 5, 6, 7A and7B, the bots 110 that transfer loads between, for example, themultilevel vertical conveyors 150A, 150B and the storage shelves of arespective level of storage structure 130 will be described. In oneaspect, the bots 110 may be configured for substantially continuousoperation. For exemplary purposes only, the bots 110 may have a dutycycle of about ninety-five (95) percent. In other aspects the bots mayhave any suitable duty cycle and operational periods.

As can be seen in FIG. 5, the bots 110 generally include a frame 1200, adrive system 1210, a control system 1220, and a payload area 1230. Thedrive system 1210 and control system 1220 may be mounted to the frame inany suitable manner. The frame may form the payload area 1230 and beconfigured for movably mounting a transfer arm or effector 1235 to thebot 110.

The transfer arm 1235 may be movably mounted to the frame 1200 within,for example, the payload area 1230. It is noted that the payload area1230 and transfer arm 1235 may be suitably sized for transporting casesin the storage and retrieval system 100. For example, the width W of thepayload area 1230 and transfer arm 1235 may be substantially the same asor larger than a depth D (FIG. 13B) of the storage shelves 600. Inanother aspect, the length L of the payload area 1230 and transfer arm1235 may be substantially the same as or larger than the largest itemlength transferred through the system 100 with the item length beingoriented along the longitudinal axis 1470 (FIG. 6) of the bot 110.

Referring also to FIG. 6, in this exemplary embodiment the transfer arm1235 may include an array of fingers 1235A, one or more pusher bars1235B and a fence 1235F. In other aspects the transfer arm may have anysuitable configuration and/or components. The transfer arm 1235 may beconfigured to extend and retract from the payload area 1230 fortransferring loads to and from the bot 110. In one aspect of thedisclosed embodiment, the transfer arm 1235 may be configured to operateor extend in a unilateral manner relative to the longitudinal axis 1470of the bot (e.g. extend from one side of the bot in direction 1471) forincreasing, for example, reliability of the bot while decreasing thebots complexity and cost. It is noted that where the transfer arm 1235is operable only to one side of the bot 110, the bot may be configuredto orient itself for entering the picking aisles 130A and/or transferareas 295 with either the drive end 1298 or the driven end 1299 facingthe direction of travel so that the operable side of the bot is facingthe desired location for depositing or picking a load. In other aspectsthe bot 110 may be configured such that the transfer arm 1235 isoperable or extendable in a bilateral manner relative to thelongitudinal axis 1470 of the bot (e.g. extendable from both sides ofthe bot in directions 1471 and 1472). It is noted that the botconfiguration described herein is exemplary in nature, and in otheraspects the bot may have any suitable configuration. It is also notedthat the transfer arm of the bot may pick and/or place case units fromeverywhere along the rack surface.

The transfer arm 1235 may include any suitable lifting device(s) 1235Lconfigured to move the transfer arm 1235 in a direction substantiallyperpendicular to a plane of extension/retraction of the transfer arm1235.

Referring also to FIGS. 7A-7B, in one example, a load (substantiallysimilar to pickfaces 750-753) is acquired from, for example, a storageshelf 600 by extending the fingers 1235A of the transfer arm 1235 intothe spaces 620S between support legs 620L1, 620L2 of the storage shelf600 and under one or more target case units 1500 located on the shelf600. The transfer arm lift device 1235L is suitably configured to liftthe transfer arm 1235 for lifting the one or more target case units 1500(e.g. pickface) off of the shelf 600. The fingers 1235A are retracted sothat the one or more target case units are disposed over the payloadarea 1230 of the bot 110. The lift device 1235L lowers the transfer arm1235 so the one or more target case units are lowered into the payloadarea 1230 of the bot 110. In other aspects, the storage shelves 600 maybe configured with a lift motor for raising and lowering the target caseunits where the transfer arm 1235 of the bot 110 does not include a liftdevice 1235L. It is also noted that in one aspect the extension of thetransfer arm 1235 may be controlled for retrieving a predeterminednumber of case units from an array of case units. For example, thefingers 1235A in FIG. 7B may be extended so that only item 1502A isretrieved while item 1502B remains on the shelf 1550. In another aspect,the fingers 1235A may be extended only part way into a shelf 600 (e.g.an amount less than the depth D of the shelf 600) so that a first itemlocated at, for example, the front of the shelf (e.g. adjacent thepicking aisle) is picked while a second item located at the back of theshelf, behind the first item, remains on the shelf.

Referring now to FIG. 8, an exemplary control system 1220 of the bot isshown. The control system 1220 may be configured to providecommunications, supervisory control, bot localization, bot navigationand motion control, case sensing, case transfer and bot powermanagement. In other aspects the control system 1220 may be configuredto provide any suitable services to the bot 110. The control system 1220may include any suitable programs or firmware configured for performingthe bot operations described herein. The control system 1220 may beconfigured to allow for remote (e.g. over a network) debugging of thebot. In one example, the firmware of the bot may support a firmwareversion number that can be communicated over, for example, the network180 so the firmware may be suitably updated. The control system 1220 mayallow for assigning a unique bot identification number to a respectivebot 110 where the identification number is communicated over the network180 (FIG. 1) to, for example, track a status, position or any othersuitable information pertaining to the bot 110. In one example, the botidentification number may be stored in a location of the control system1220 such that the bot identification number is persistent across apower failure but is also changeable.

In one aspect of the disclosed embodiment, the control system 1220 maybe divided into a front end 1220F (FIG. 5) and back end 1220B (FIG. 5)having any suitable subsystems 1702, 1705. The control system 1220 mayinclude an on-board computer 1701 having, for example, a processor,volatile and non-volatile memory, communication ports and hardwareinterface ports for communicating with the on-board control subsystems1702, 1705. The subsystems may include a motion control subsystem 1705and an input/output subsystem 1702. In other aspects, the bot controlsystem 1220 may include any suitable number of portions/subsystems.

The front end 1220F may be configured for any suitable communications(e.g. synchronous or asynchronous communications regarding bot commands,status reports, etc.) with the control server 120. The bot front end1220F may be configured as a pair of state machines where a first one ofthe state machines handles communication between the front end 1220F andthe control server 120 and a second one of the state machines handlescommunication between the front end 1220F and the back end 1220B. Inother aspects the front end 1220F may have any suitable configuration.The back end 1220B may be configured to effect the functions of the botdescribed above (e.g. lowering the casters, extending the fingers,driving the motors, etc.) based on, for example, the primitives receivedfrom the front end 1220F. In one example, the back end 122B may monitorand update bot parameters including, but not limited to, bot positionand velocity and send those parameters to the, bot front end 1220F. Thefront end 1220F may use the parameters (and/or any other suitableinformation) to track the bots 110 movements and determine the progressof the bot task(s). The front end 1220F may send updates to, forexample, the bot proxy 2680 so that the control server 120 can track thebot movements and task progress and/or any other suitable botactivities.

The motion control subsystem 1705 may be part of the back end 1220B andconfigured to effect operation of, for example, drive motors of the bot110. The motion control subsystem 1705 may operatively connected to thecomputer 1701 for receiving control instructions for the operation of,for example, servo drives (or any other suitable motor controller)resident in the motion control subsystem 1705 and subsequently theirrespective drive motors

The input/output subsystem 1702 may also be part of the back end 1220Band configured to provide an interface between the computer 1701 and oneor more sensors 1710-1716 of the bot 110. The sensors may be configuredto provide the bot with, for example, awareness of its environment andexternal objects, as well as the monitor and control of internalsubsystems. For example, the sensors may provide guidance information,payload information or any other suitable information for use inoperation of the bot 110. For exemplary purposes only, the sensors mayinclude a bar code scanner 1710, slat sensors 1711, line sensors 1712,case overhang sensors 1713, arm proximity sensors 1714, laser (and/orinfrared sensors and/or other optical scanning sensors) sensors 1715 andultrasonic sensors 1716 as described in U.S. patent application Ser. No.12/757,312, filed on Apr. 9, 2010 (now U.S. Pat. No. 8,425,173),previously incorporated herein by reference.

In one aspect, the laser (and/or infrared sensors and/or other opticalscanning sensors) sensors 1715 and ultrasonic sensors 1716 (collectivelyreferred to as case sensors) may be configured to allow the bot 110 tolocate itself relative to each case unit forming the load carried by thebot 110 before the case units are picked from, for example, the storageshelves 600 and/or multilevel vertical conveyor (or any other locationsuitable for retrieving payload). The case sensors may also allow thebot to locate itself relative to empty storage locations for placingcase units in those empty storage locations and/or allow the bot to mapthe location of the case units within the storage structure forcomparison with a stored map of the case units stored in, for example,the control server 120 or any other suitable location as will bedescribed below. This location of the bot relative to the case units tobe picked and/or empty storage locations for placing the case units maybe referred to as bot localization. The case sensors may also allow thebot 110 to confirm that a storage slot (or other load depositinglocation) is empty before the payload carried by the bot is depositedin, for example, the storage slot. In one example, the laser sensor 1715may be mounted to the bot at a suitable location for detecting edges ofitems to be transferred to (or from) the bot 110. The laser (and/orinfrared sensors and/or other optical scanning sensors) sensor 1715 maywork in conjunction with, for example, retro-reflective tape (or othersuitable reflective surface, coating or material) located at, forexample, the back of the shelves 600 to enable the sensor to “see” allthe way to the back of the storage shelves 600. The reflective tapelocated at the back of the storage shelves allows the laser sensor 1715to be substantially unaffected by the color, reflectiveness, roundnessor other suitable characteristics of the items located on the shelves600. The ultrasonic sensor 1716 may be configured to measure a distancefrom the bot 110 to the first item in a predetermined storage area ofthe shelves 600 to allow the bot 110 to determine the picking depth(e.g. the distance the fingers 1235A travel into the shelves 600 forpicking the item(s) off of the shelves 600). One or more of the casesensors may allow for detection of case orientation (e.g. skewing ofcases within the storage shelves 600) by, for example, measuring thedistance between the bot 110 and a front surface of the case units to bepicked as the bot 110 comes to a stop adjacent the case units to bepicked. The detection of case orientation may also allow forverification that case units are oriented in a predetermined orientationafter a disturbance such as a seismic or other event that causesmovement of the storage structure (e.g. whether the case units areskewed from the predetermined orientation on the storage shelf such asafter a seismic or other event that may cause movement of the caseunits). The case sensors may allow verification of placement of a caseunit on, for example, a storage shelf 600 by, for example, scanning thecase unit after it is placed on the shelf. The bot may also include oneor more path sensors 1717, which may be substantially similar to thecase sensors, however the path sensors 1717 may be disposed at the frontand rear of the bot and configured to detect any obstructions that arelocated within the path of the bot such as in, for example, the pickingaisles or transfer decks. The bot may also include any other suitablesensors for allowing the bot 110 to determine its location within thestorage and retrieval system and/or scan, lead, image or otherwisedetect the case units for mapping the locations of the case units on thestorage shelves.

Referring again to FIG. 1, and as described above, the storage structure130 may include multiple levels of storage rack modules where each levelincludes an array of storage spaces (arrayed on the multiple levels andin multiple rows on each level), picking aisles 130A formed between therows of storage spaces, and transfer decks 130B. The picking aisles 130Aand transfer decks 130B being arranged for allowing the bots 110 totraverse respective levels of the storage structure 130 for placing caseunits into the picking stock and to retrieve the ordered case units. Thebots 110 may be configured to place case units, such as theabove-described retail merchandise, into picking stock in the one ormore levels of the storage structure 130 and then selectively retrieveordered case units for shipping the ordered case units to, for example,a store or other suitable location. As may be realized, the storage andretrieval system may be configured to allow random accessibility to thestorage spaces as will be described in greater detail below. Forexample, all storage spaces in the storage structure 130 may be treatedsubstantially equally when determining which storage spaces are to beused when picking and placing case units from/to the storage structure130 such that any storage space of sufficient size can be used to storecase units. The storage structure 130 of the aspects of the disclosedembodiment may also be arranged such that there is no vertical orhorizontal array partitioning of the storage structure. For example,each multilevel vertical conveyor 150A, 150B is common to all storagespaces (e.g. the array of storage spaces) in the storage structure 130such that any bot 110 can access each storage space and any multilevelvertical conveyor 150A, 150B can receive case units from any storagespace on any level so that the multiple levels in the array of storagespaces substantially act as a single level (e.g. no verticalpartitioning). The multilevel vertical conveyors 150A, 150B can alsoreceive case units from any storage space on any level of the storagestructure 130 (e.g. no horizontal partitioning).

The bots 110 and other suitable features of the storage and retrievalsystem 100 may be controlled by, for example, one or more central systemcontrol computers (e.g. control server) 120 through, for example, anysuitable network 180. The network 180 may be a wired network, a wirelessnetwork or a combination of a wireless and wired network using anysuitable type and/or number of communication protocols. It is notedthat, in one aspect of the disclosed embodiment, the system controlserver 120 may be configured to manage and coordinate the overalloperation of the storage and retrieval system 100 and interface with,for example, a warehouse management system, which in turn manages thewarehouse facility as a whole. The control server 120 may besubstantially similar to that described in, for example, U.S. patentapplication Ser. No. 12/757,337 filed on Apr. 9, 2010, (now U.S. Pat.No. 8,594,835), the disclosure of which is incorporated by referenceherein in its entirety. For example, the control server 120 may includea collection of substantially concurrently running programs that areconfigured to manage the storage and retrieval system 100 including, forexemplary purposes only, controlling, scheduling, and monitoring theactivities of all active system components, managing inventory andpickfaces, and interfacing with a warehouse management system 2500. Inone example, all case units forming a given pickface are of the samestock keeping unit (SKU) and originally from the same pallet. In otheraspects, each pickface may include any suitable case units. Eachpickface may correspond to all or part of a bot load (e.g. the loadcarried by each bot 110 to and from the storage areas). Conversely, thebot load may be established based on a pickface determination. As may berealized the determination of the pickfaces may be variable within thestorage and retrieval system such that the size and locations of thepickface are dynamically changeable. It is also noted that interfacingwith the warehouse management system allows the control server 120 toreceive and execute pallet orders and to submit and executereplenishment orders. The active system components may be the physicalentities that act upon the case units to be stored and retrieved. Theactive system components may include, as a non-limiting example, thebots, in-feed and out-feed stations, multilevel vertical conveyors, thenetwork and user interface terminals. In other aspects, the activesystem components may also include transfer stations. The control server120 may be configured to order the removal of case units from thestorage and retrieval system for any suitable purpose, in addition toorder fulfillment, such as, for example, when case units are damaged,recalled or an expiration date of the case units has expired.

As may be realized case units of the same type may be stored indifferent locations within the storage structure 130 so that at leastone of that type of item may be retrieved when other ones of that typeof item are inaccessible. The storage and retrieval system may also beconfigured to provide multiple access paths or routes to each storagelocation (e.g. pickface) so that bots may reach each storage locationusing, for example, a secondary path if a primary path to the storagelocation is obstructed. It is noted that the control server 120 and oneor more sensors on the bots 110 may allow for the assignment andreservation of a pickface for putting away an inbound item such asduring replenishment of the storage and retrieval system 100. In oneaspect of the disclosed embodiment, when a storage slot/space becomesavailable in the storage structure 130, the control server 120 mayassign a fictitious item (e.g. an empty case) to the empty storage slot.If there are adjacent empty slots in the storage structure the emptycases of the adjacent storage slots may be combined to fill the emptyspace on the storage shelf. As may be realized, the size of the slotsmay be variable such as when dynamically allocating shelf space. Forexample, referring also to FIGS. 14A-14C, instead of placing case units5011 and 5012 in predetermined storage areas on the storage shelf 5001,the storage slots may be dynamically allocated such that the cases 5011,5012 are replaced by three cases having the size of case unit 5010. Forexample, FIG. 14A illustrates a storage bay 5000 divided into storageslots S1-S4 as is done in conventional storage systems. The size of thestorage slots S1-S4 may be a fixed size dependent on a size of thelargest item (e.g. item 5011) to be stored on the shelf 600 of thestorage bay 5000. As can be seen in FIG. 14A, when case units 5010,5012, 5013 of varying dimensions, which are smaller than item 5011, areplaced in a respective storage slot S1, S2, S4 a significant portion ofthe storage bay capacity, as indicated by the shaded boxes, remainsunused. In accordance with an aspect of the disclosed embodiment, FIG.14B illustrates a storage bay 5001 having dimensions substantiallysimilar to storage bay 5000. In FIG. 14B the case units 5010-5016 areplaced on the shelf 600 in predetermined storage positions using dynamicallocation such that the empty storage slots are substantiallycontinuously resized as uncontained case units are placed on the storageshelves (e.g. the storage slots do not have a predetermined size and/orlocation on the storage shelves). As can be seen in FIG. 14B,dynamically allocating the storage space allows placement of case units5014-5016 on shelf 600 in addition to case units 5010-5013 (which arethe same case units placed in storage bay 5000 described above) suchthat the unused storage space, as indicated by the hatched boxes, isless than the unused storage space using the fixed slots of FIG. 14A.FIG. 14C illustrates a side by side comparison of the unused storagespace for the fixed slots and dynamic allocation storage describedabove. It is noted that the unused storage space of bay 5001 usingdynamic allocation may be decreased even further by decreasing theamount of space between the case units 5010-5016 which may allow forplacement of additional case units on the shelf 600. As may be realized,as case units are placed within the storage structure the open storagespaces may be analyzed, by for example the control server 120 so thatthe control server 120 determines the predetermined storage positions,after each item placement. The control server 120 may dynamicallyre-allocate the open storage spaces according to a changed size of theopen storage space so that additional case units having a sizecorresponding to (or less than) a size of the re-allocated storage spacemay be placed in the re-allocated storage space. In other aspects, thestorage slots may also be allocated so that case units that arefrequently picked together are located next to each other. When apredetermined pickface is reserved for an item that is being delivered,at least a portion of the empty case sitting in the location where theitem is to be placed is replaced by a fictitious item having thefeatures (e.g. size, etc.) of the item being delivered to prevent otherinbound case units from being assigned to the predetermined pickface. Ifthe item, is smaller than the empty case that it is replacing the emptycase may be resized or replaced with a smaller empty case to fill theunused portion of the storage shelf. Another item may then be placedwithin the storage slot corresponding to the resized smaller empty caseand so on.

When an order for individual case units is made any bots 110 on thestorage level of the requested case units retrieves the correspondingcase units from a designated storage area of the storage structure 130(FIG. 15, Block 2300). The bot 110 traverses the picking aisle 130A inwhich the case units were stored and the transfer aisle 130B foraccessing any desired shelf 730 (FIG. 2A) of any one of the multilevelvertical conveyors 150B (FIG. 15, Block 2310). It is noted that the caseunits that comprise the order may be picked by the bots in any order.For example, a first bot 110 may traverse, for example, the transferdeck 130B for any suitable amount of time to, for example, allow otherbots to pick respective case units of the order and deliver those caseunits to the multilevel vertical conveyor 150B if the case units of theother bots are to be delivered to the multilevel vertical conveyorbefore the case units of the first bot 110. As described herein, thecase units may be delivered to the multilevel vertical conveyor at apredetermined time according to, for example, a predetermined sequencein a first sortation of the case units (FIG. 15, Block 2320). The bot110 transfers the case units to the desired shelf of the multilevelvertical conveyor as described above (FIG. 15, Block 2330). In alternateembodiments, the bots may provide the case units to bot transferstations 140 located on a level of the storage structure 130 from whichthe ordered case units were picked. The multilevel vertical conveyor150B transports the individual ordered case units to the out-feedtransfer stations 160 at a predetermined time according to, for example,a predetermined sequence in a second sortation of the case units (FIG.15, Block 2340). It is noted that the multilevel vertical conveyors 150Bare configured to allow the case units to continuously revolve aroundthe conveyor loop so that the case units can be moved to, for example,an out-feed transfer station at any suitable time for fulfilling anorder. For example, a first case unit is placed on a first shelf of themultilevel vertical conveyor 150B and a second case unit is placed on asecond shelf of the multilevel vertical conveyor 150B where the firstshelf is located in front of the second shelf in a sequence of shelvesof the multilevel vertical conveyor 150B and the second case unit is tobe provided to the out-feed transfer station 160 before the first caseunit. The first shelf (holding the first case unit) may be allowed topass the out-feed transfer station without unloading the first case unitto allow the second case unit to be removed from the second shelf. Thus,the case units may be placed on the shelves of the multilevel verticalconveyor 150B in any order. The out-feed transfer station 160 removesthe case units from a desired shelf of the multilevel vertical conveyorat a desired time (FIG. 15, Block 2350) so that the individual caseunits are transported to palletizing workstations 220 (FIG. 9) byconveyors 230 (FIG. 9) where the individual case units are placed onoutbound pallets (or other suitable container-like transport supports)in, for example, a predetermined sequence to form mixed pallets forshipping to a customer. The out-feed transfer stations 160 and thepalletizing workstations 220 may be referred to collectively as an orderassembly station. Other examples, of material handling systems in whichcase units are transferred to an outbound container can be found in U.S.patent application Ser. No. 10/928,289 filed on Aug. 28, 2004, (now U.S.Pat. No. 7,591,630) and U.S. patent application Ser. No. 12/002,309filed on Dec. 14, 2007, (now U.S. Pat. No. 7,991,505), the disclosuresof which are incorporated by reference herein in their entireties. Asmay be realized, the storage and retrieval system described hereinallows for ordering mixed case units of any suitable quantity withouthaving to pick and transport, for example, entire trays, totes orpallets of case units to and from the storage structure 130.

Referring now to FIGS. 9-11, exemplary configurations of the storage andretrieval system 100 are shown in accordance with aspects of thedisclosed embodiment. As can be seen in FIG. 9, the storage andretrieval system 200 is configured as a single-ended picking structurein which only one side of the system 200 has a transfer section or deck130B. The single-ended picking structure may be used in, for example, abuilding or other structure having loading docks disposed only on oneside of the building. As can be seen in FIG. 9, the transfer deck 130Band picking aisles 130A allow bots 110 to traverse an entirety of alevel of the storage structure 130 on which that bot 110 is located fortransporting case units between any suitable storage locations/pickingaisles 130A and any suitable multilevel vertical conveyors 150A, 150B.In this exemplary embodiment, the storage and retrieval system 200includes a first and second storage section 230A, 230B located side byside so that the picking aisles of each section are substantiallyparallel with each other and facing the same direction (e.g. towardstransfer deck 130B).

FIG. 10 illustrates a storage and retrieval system 300 having a doublesided picking structure for use in, for example, buildings or otherstructures having loading docks on two sides of the building. In FIG. 10the storage and retrieval system 300 includes two storage sections 340A,340B that are arranged so that the picking aisles 130A in each of thestorage sections 340A, 340B are parallel with each other but facingopposing directions such that substantially continuous picking aislesare formed between the opposing transfer decks 330A, 330B. As may berealized, an express travel lane 335 may be located between the opposingtransfer decks 330A, 330B for allowing bots 110 to transit between thetransfer decks 330A, 330B at greater speeds than those allowed withinthe picking aisles 130A. As may also be realized the bots 110 on eachlevel of the picking structure of FIG. 10 may traverse the entirety ofits respective level such that the bot 110 may serve to transport caseunits throughout the two storage sections 340A, 340B and to and fromrespective input and output workstations.

FIG. 11 illustrates a storage and retrieval system 400 substantiallysimilar to storage and retrieval system 300. However, the storage andretrieval system 400 illustrates maintenance access gateways 410A, 410B,410C for allowing, as an example, humans and/or service equipment toenter the storage and retrieval system for performing maintenance and/orrepairs to the storage and retrieval system 400. The storage andretrieval systems may also be configured with suitable features fordisabling one or more bots 110, conveyors or any other suitable featuresof the storage and retrieval systems in one or more areas of the storageand retrieval system 100 when maintenance is being performed within thestorage and retrieval system 100. In one example, the control server 120may be configured to disable/enable features of the storage andretrieval system.

The storage and retrieval systems, such as those described above withrespect to FIGS. 9-11 may be configured to allow substantially unimpededaccess to substantially all areas of the storage and retrieval system inthe event of, for example, a stoppage in the system so that the systemcontinues operation with substantially no or minimized loss inthroughput. A stoppage in the system may include, but is not limited to,a disabled bot 110 within a picking aisle or on a transfer deck, adisabled multilevel vertical conveyor 150A, 150B and/or a disabledin-feed or out-feed transfer station 160, 170. As may be realized thestorage and retrieval system 200, 300, 400 may be configured to allowsubstantially redundant access to each of the storage locations withinthe picking aisles 130A. For example, a loss of an input multilevelvertical conveyor 150A may result in substantially no loss of storagespace or throughput as there are multiple input multilevel verticalconveyors 150A that can transport case units to each level/storage spacewithin the storage structure 130. As another example, the loss of a botout of a picking aisle may result in substantially no loss of storagespace or throughput as there are multiple bots 110 on each level capableof transferring case units between any one of the storage spaces and anyone of the multilevel vertical conveyors 150A, 150B. In still anotherexample, the loss of a bot 110 within a picking aisle may result insubstantially no loss of storage space or throughput as only a portionof a picking aisle is blocked and the storage and retrieval system maybe configured to provide multiple paths of travel to each of the storagespaces or types of case units within the storage spaces. In yet anotherexample, a loss of an output multilevel vertical conveyor 150B mayresult in substantially no loss of storage space or throughput as thereare multiple output multilevel vertical conveyors 150B that cantransport case units from each level/storage space within the storagestructure 130. In the exemplary embodiments, transport of the case units(e.g. via the multilevel vertical conveyors and bots) is substantiallyindependent of storage capacity and case unit distribution and viceversa (e.g. the storage capacity and case unit distribution issubstantially independent of transport of the case units) such thatthere is substantially no single point of failure in either storagecapacity or throughput of case units through the storage and retrievalsystem.

The control server 120 may be configured to communicate with the bots110, multilevel vertical conveyors 150A, 150B, in-feed or out-feedtransfer stations 160, 170 and other suitable features/components of thestorage and retrieval system in any suitable manner. The bots 110,multilevel vertical conveyors 150A, 150B and transfer stations 160, 170may each have respective controllers that communicate with the controlserver 120 for conveying and/or receiving, for example, a respectiveoperational status, location (in the case of the bots 110) or any othersuitable information. The control server may record the information sentby the bots 110, multilevel vertical conveyors 150A, 150B and transferstations 160, 170 for use in, for example, planning order fulfillment orreplenishment tasks.

The storage and retrieval systems shown in FIGS. 1 and 9-11 haveexemplary configurations only and in other aspects the storage andretrieval systems may have any suitable configuration and components forstoring and retrieving case units as described herein. For example, inother aspects the storage and retrieval system may have any suitablenumber of storage sections, any suitable number of transfer decks andcorresponding input and output workstations. As an example, a storageand retrieval system in accordance with the exemplary embodiments mayinclude transfer decks and corresponding input and output stationslocated on three or four sides of the storage sections for serving, forexample, loading docks disposed on various sides of a building.

Referring also to FIGS. 12, 13A and 13B, the storage structure 130 willbe described in greater detail. In accordance with an aspect of thedisclosed embodiment, the storage structure 130 includes, for example,any suitable number of vertical supports 612 and any suitable number ofhorizontal supports 610, 611, 613. It is noted that the terms verticaland horizontal are used for exemplary purposes only and that thesupports of the storage structure 130 may have any suitable spatialorientation. In this aspect of the disclosed embodiment, the verticalsupports 612 and horizontal supports 610, 611, 613 may form an array ofstorage modules 501, 502, 503 having storage bays 510, 511. Thehorizontal supports 610, 611, 613 may be configured to support thestorage shelves 600 (described below) as well as the floors 130F for theisle spaces 130A, which may include tracks for the bots 110. Thehorizontal supports 610, 611, 613 may be configured to minimize thenumber of splices between horizontal supports 610, 611, 613 and thus,the number of splices that, for example, tires of the bots 110 willencounter. For exemplary purposes only, the aisle floor 130F may be asolid floor constructed of plymetal panels having, for example, a woodcore sandwiched between sheets of sheet metal. In other aspects thefloors 130F may have any suitable layered, laminated, solid or otherconstruction and be constructed of any suitable material(s), including,but not limited to plastics, metals, woods and composites. In yet otheralternate embodiments the aisle floors 130F may be constructed of ahoneycomb structure or other suitable lightweight yet substantiallyrigid structure. The aisle floors 130F may be coated or treated withwear resistant materials or include replaceable sheets or panels thatmay be replaced when worn. Tracks 1300 (FIG. 11) for the bots 110 may beincorporated into or otherwise affixed to the aisle floors 130F forguiding the bots 110 in substantially straight lines or paths of travelwhile the bots 110 are traveling within the storage structure 130.Suitable examples of tracks 1300 are described in U.S. patentapplication Ser. No. 12/757,312, (now U.S. Pat. No. 8,425,173),previously incorporated by reference. The floors 130F may be attachedto, for example, one or more of the vertical and horizontal supports (orany other suitable support structure) in any suitable manner such aswith any suitable fasteners including, but not limited to bolts andwelds. In one aspect of the disclosed embodiment, the tracks 1300 may befixed to one or more vertical supports of the storage structure in anysuitable manner such that the bot straddles adjacent tracks 1300 fortraversing a picking aisle. One or more of the picking aisles may besubstantially vertically unobstructed by floors (e.g. the picking aislesdo not have floors). The absence of floors on each picking level mayallow maintenance personnel to walk down the picking aisles where theheight between each storage level would otherwise substantially preventthe maintenance personnel from traversing the picking aisles.

Each of the storage bays 510, 511 may hold the picking stock on storageshelves 600 that are separated by the picking aisles 130A. It is notedthat in one exemplary embodiment the vertical supports 612 and/orhorizontal supports 610, 611, 613 may be configured to allow foradjusting the height or elevation of the storage shelves and/or aislefloors 130F relative to, for example, each other and a floor of thefacility in which the storage and retrieval system is located. In otheraspects the storage shelves and floors may be fixed in elevation. As canbe seen in FIG. 12, storage module 501 is configured as an end modulehaving, for example, about half the width of the other storage modules502, 503. As an example, the end module 501 may have a wall located onone side and the picking aisle 130A located on the opposite side. Thedepth Dl of end module 501 may be such that access to the storageshelves 600 on module 501 is achieved by the picking aisle 130A locatedon but one side of the storage module 501, whereas the storage shelves600 of modules 502, 503 may be accessed by picking aisles 130A locatedon both sides of the modules 502, 503 allowing for, as an example, thestorage modules 502, 503 having a depth substantially twice that of thedepth Dl of storage module 501. As may be realized from the figures, theconfiguration of the storage shelves 600 provides what may be referredto as an open architecture, wherein the uncontained cases may be placedonto the shelf seating surface as desired in a substantiallyunrestricted manner in the plane of the shelf. The open configurationfacilitates dynamic space allocation and positioning of stored cases, aswill be further described below. Corresponding, the open architecture,without restrains, allows cases to shift on the shelf, for example underthe influence of inertial forces. The storage shelves 600 may includeone or more support legs 620L1, 620L2 extending from, for example, thehorizontal supports 610, 611, 613. The support legs may be installed onthe horizontal supports 610, 611, 613 in any suitable manner. Onesuitable example of how the support legs are installed on the horizontalsupports can be found in U.S. patent application Ser. No. 13/327,035,filed on Dec. 15, 2011 (now U.S. Pat. No. 9,008,884), and U.S.Provisional Patent Application No. 61/423,206 filed on Dec. 15, 2010,the disclosures of which are incorporated herein by reference in theirentireties. The support legs 620L1, 620L2 may have any suitableconfiguration and may be part of, for example, a substantially U-shapedchannel 620 such that the legs are connected to each other throughchannel portion 620B. The channel portion 620B may provide an attachmentpoint between the channel 620 and one or more horizontal supports 610,611, 613 (see also FIG. 13A). In other aspects, each support leg 620L1,620L2 may be configured to individually mount to the horizontal supports610, 611, 613. In this aspect of the disclosed embodiment, each supportleg 620L1, 620L2 includes a bent portion 620H1, 620H2 having a suitablesurface area configured to support case units stored on the shelves 600.The bent portions 620H1, 620H2 may be configured to substantiallyprevent deformation of the case units stored on the shelves. In otheraspects the leg portions 620H1, 620H2 may have a suitable thickness orhave any other suitable shape and/or configuration for supporting caseunits stored on the shelves. As can be seen in FIGS. 13A and 13B, thesupport legs 620L1, 620L2 or channels 620 may form a slatted orcorrugated shelf structure where spaces 620S between, for example, thesupport legs 620L1, 620L2 allow for arms or fingers of the bots 110 toreach into the shelving for transferring case units to and from theshelves as well as for example allowing the bot 110 to track itsposition within the storage rack structure as will be described below.It is noted that the support legs 620L1, 620L2 of the shelves 600 may beconfigured for storing case units, where adjacent case units are spacedany suitable distance from each other. For example, a pitch or spacingbetween the support legs 620L1, 620L2 in the direction of arrow 698 maybe such that the case units are placed on the shelves 600 with adistance of about one pitch between the case units to, for example,minimize contact between case units as the case units are placed andremoved from the shelves b y the bots 110. For exemplary purposes only,case units located adjacent one another may be spaced apart, forexample, in direction 698 a distance of about 2.54 cm. In other aspectsthe spacing between the case units on the shelves may be any suitablespacing. It is also noted that transfer of case units to and from themultilevel vertical conveyors 150A, 150B (whether the transfer is madedirectly or indirectly by the bot 110) may occur in a substantiallysimilar manner to that described above with respect to the storageshelves 600.

In the aspect of the disclosed embodiment where slats may be used forbot positioning the slats 620L may be mounted to the storage shelf 600such that the distance 620S (e.g. space between slats) places the slats620L at known increments 130A for bot position location during pickingand placing case units to the storage shelves 600. In one example, thespacing 620S between the slats 620L can be arranged to provide anincremental bot positioning system (e.g. the spacing 620S issubstantially the same between all of the slats 620L where the botlocation is tracked from a base or reference point such as an end of thepicking aisle 130A). In another example, the spacing 620S between thesupport legs 620L1, 620L2 can be arranged to provide an absolute botpositioning system (e.g. the spacing 620S follows a predeterminedpattern so that each space when detected by the bot provides a uniqueidentifiable location of the bot within the picking aisle) while stillallowing the fingers 1235A of the bot 110 to be inserted between theslats 620L for picking and placing case units from the storage shelves600. In the aspects of the disclosed embodiment, substantially the sameabsolute encoder slat pattern may be used in each of the picking aisleswhile in other aspects each of the picking aisles may have a uniqueabsolute encoder slat pattern so as to identify the aisle as well as thebot location within the aisle. It should be understood that in theaspects of the disclosed embodiment, the spacing between the slats 620Lon the shelves 600 may be any suitable spacing to provide any suitablemeasurement scale for determining the location of the bot such as, forexample, a combination of incremental and absolute positioning scales.The position of the bot may also be determined using a “map” or“fingerprint” of the cases on the storage shelves as will be describedin greater detail below. In accordance with the embodiment, botpositioning may be established via other suitable features (e.g. a tapeor strip encoded with incremental and/or absolute features or marksdetected by the passage of the bot relative to the structure). It isalso noted that transfer of case units to and from the multilevelvertical conveyors 150A, 150B (whether the transfer is made directly orindirectly by the bot 110) may occur in a substantially similar mannerto that described above with respect to storage shelves 600.

Referring now to FIGS. 13A and 13C, any suitable number of sensors fordetecting or sensing the slats 620L (which are provided on the storageshelf) may be provided on the bot 110 (FIG. 13F, Blocks 17900 and17910). In the embodiments the bot 110 includes two sensors 17700, 17701for exemplary purposes only that may be substantially similar to thecase sensors 1715, 1716 described above. In the aspects of the disclosedembodiment the sensors 17700, 17701 are described as beam sensorsincluding an emitter and a receiver. The emitter and receiver of eachsensor 17700, 17701 may be housed in a unitary sensor casing or separatesensor casings of the respective sensor 17700, 17701. It should beunderstood that the sensors 17700, 17701 may be any suitable types ofsensors including, but not limited to, beam sensors and proximitysensors such as magnetic sensors, capacitance sensors, inductancesensors and the like. The sensor 17700 may be located towards the frontof the bot 110 and the sensor 17701 may be located towards the rear ofthe bot 110. It should be realized that the terms “front” and “rear” arerelative terms and used herein for exemplary purposes only as the bot110 may be configured to travel down the picking aisle 130A in anydirection such that the front and rear of the bot, relative to thedirection of bot travel, may be reversed. It should be understood thatone or more sensors may be located at any suitable positions on the botsuch as for example, along any suitable length of any suitable side ofthe bot 110. The sensors 17700, 17701 may be mounted to the bot 110 inany suitable manner such as to the chassis or any other portion of thebot 110 structure.

The sensors 17700, 17701 may be mounted to the bot 110 for detecting orotherwise sensing the slats 620L to provide, for example, an incremental(or absolute) and discrete position encoder (FIG. 13F, Block 17920) fordetermining a location of the bot within, for example, a picking aisle130A or any other suitable location within the storage and retrievalsystem 100. The sensors 17700, 17701 may be mounted at any suitableangle θ (shown exaggerated in FIG. 13C) relative to, for example, thebot chassis and/or the face 620LF of the slats 620L for generating asignal when a respective slat 620L is sensed. It is noted that the angleθ may allow, for example, a beam emitted from the sensor to be reflectedoff of, for example, the slats 620L and be received by a receiver of thesensor as will be described below. As may be realized, the emitter ofthe beam sensor may be configured such that the emitter is angledrelative to the sensor housing so that the housing can be mounted to thebot substantially parallel and/or perpendicular to one or morestructural features of the bot. As may also be realized where thesensors used are proximity sensors, the sensors may not be angled as theslats are detected through, for exemplary purposes only, changes incapacitance, inductance or magnetic fields. It is noted that the sensorsmay have any suitable arrangement/configuration relative to the slatsfor detecting the slats and determining a position of the bot. As anon-limiting example only, the back surface of the shelf may have ananti-reflective property that allows the sensors to be placed so thatthe sensor beam of a reflective type sensor is substantially parallel toa longitudinal axis of the slats (e.g. not at an angle to the slats).

Referring also to FIG. 13E, as the bot moves through the picking aisle130A in, for example, the direction of arrow 799 the beam 17700B emittedfrom the emitter of sensor 17700 strikes the side 620LS of the slat 620and is reflected away from the sensor (e.g. the beam is not returned tothe receiver of the sensor 17700). As the bot continues to move in thedirection of arrow 799 the beam 17700B strikes a face 620LF of the slat620L such that the beam 17700B is reflected back to the receiver ofsensor 17700 so that the sensor produces an output signal indicating thepresence of the slat 620L. During the continual movement of the bot 110in the direction of, for example, arrow 799 the beam 17700B sweeps theface 620LF of the slat 620L such that the beam 17700B continues to bereflected back to the receiver of sensor 17700. As the receiver ofsensor 17700 receives the beam 17700B the sensor 17700 provides asubstantially constant output signal to, for example, any suitablecontroller 1220 of the bot 110 (or storage and retrieval system 100 suchas control server 120). As the bot continues to move in the directionof, for example, arrow 799 the beam 17700B moves off of the slat face620LF and is no longer reflected back to the receiver of the sensor17700 such that the sensor discontinues to output the substantiallyconstant output signal to indicate no slat is present. As may berealized, as the bot moves past successive slats 620L the output signals(e.g. slat present, no slat present, slat present, etc.) generated bythe sensor 17700 may form of an “on/off” signal 5700 as shown in FIG.13D where the on/off output signals correspond to a pitch P (or spacing)of the slats (FIG. 13F, Block 17930). In this example, the signal 5700is illustrated as a square wave but may have any suitablewaveform/shape. Sensor 17701 may operate in the same manner as thatdescribed above with respect to sensor 700 such that the beam 17701Bfrom sensor 17701 is reflected off the slat faces 620LF to produceanother “on/off” signal 5701. As may be realized, the “on/off” signalmay be generated in a similar manner using proximity sensors where thesignal is “on” when the slat is in proximity to the sensor (e.g. slatpresence is detected) and “off” when there is no slat presence detected.

The two signals 5700, 5701 generated by the respective sensors 17700,17701 form, for example, incremental encoder patterns (e.g.substantially equal pitch between slats) that may be interpreted by thecontroller 1220 for determining a position of the bot within, forexample, the picking aisle 130A. It is noted that the pitch betweenslats may vary in a unique manner (while still allowing enough room forfingers 1235A of the bot 110 to be inserted between the slats forpicking and placing case units from the storage shelves 600) to providean absolute encoder pattern that can be interpreted by the controller1220 for determining the location of the bot independent of previouslydetected slats of the picking aisle 130A.

It is noted that the accuracy or resolution of the sensors 17700, 17701may be increased by, for example, placing the sensors 17700, 17701 onthe bot 110 such that the distance between sensors or the angle of thedifferent sensors results in at least one of the sensors being offsetfrom the slat pitch P by a predetermined fractional amount toeffectively increase a number of slats detected by the bot for creatinga finer resolution. For example, the distance L between sensors can beas follows:

L=mP+w,

where m is an integer and w is a predetermined fraction of the pitch P(e.g. P/2, P/4, . . . P/x). It is noted that the location of the slats620L within the storage shelves 600 may be located in a predeterminedconfiguration relative to, for example, the vertical supports 612 of thestorage structure. In one example, the vertical supports 612 may not beslatted and the higher position resolution may assist in confirming thebot location so that, for example, fingers 1235A (FIG. 13A) of the bot110 do not contact the vertical supports 612 or support slats 612L whilepicking/placing case units from the storage shelves 600. In anotherexample, the vertical supports 612 may have false slats disposed thereonin a manner substantially similar to that described in U.S. patentapplication Ser. No. 13/327,035, filed on Dec. 15, 2011, (now U.S. Pat.No. 9,008,884), and U.S. Provisional Patent Application No. 61/423,206previously incorporated by reference. In still other examples, the botposition can be determined using RFID tags or barcode labels mountedthroughout the storage and retrieval structure. In this example the bot110 may include any suitable RFID or barcode reader so that the RFIDtags and/or barcodes can be read as the bot 110 travels throughout thestorage and retrieval system. In still other examples the location ofthe bot can be determined based on odometry information and feedbackfrom the bot drive motors and their interaction with the surface the botrides on or against as will be described below. It should be understoodthat any suitable combination of the above features can be used todetermine the location of the bot. As may be realized, the combinationof, for example, any suitable bot location determination (such as thebot location determination described herein) and case unit sensing mayallow the bot to map the locations and orientations of the case unitslocated on the storage shelves as the bot moves through the pickingaisles.

The controller 1220 of the bot 110 may have access to a storage andretrieval system structure file. The structure file may include thelocation of each structural feature of the storage and retrieval systemincluding the positions for each slat 620L within their respectivepicking aisles 130A. The structure file may be located in any suitablememory accessible by the controller 1220. In one example, the structurefile may be resident in a memory 1221 of the bot 110. In other examples,the structure file may be resident in a memory of, for example, thecontrol server 120 and accessed by the bot 110 or uploaded to a botmemory when the location of the bot 110 is being determined. The slatlocations specified by the structure file may assist in qualifying thelocation of the slats for determining the position of the bot 110within, for example, a picking aisle 130A. For example, when the botqualifies a slat such as slat 620L1 of the storage shelves 600 with oneof the sensors 17700, 17701 the controller 1220 of the bot compares anestimated location of the bot 110 using bot odometry (obtained from e.g.wheel encoders 720 as described below) at the instant in time when theslat 620L1 is detected with the location of the slat 620L1 as specifiedby the information in the structure file (FIG. 13F, Blocks 17940 and17950). If the comparison between the estimated bot location and thelocation of the slat from the structure file coincide within apredetermined tolerance the location of the bot (and the sensor sensingthe slat) is qualified with the slat such that the bot 110 knows itssubstantially exact location within the picking aisle 130A. It is notedthat the sensors 17700, 17701 may be located at a predetermined distancerelative to, for example, a location of an effector or arm 1235 (FIG. 7)of the bot 110 so that the arm 1235 can be positioned, based on thesensor's determined location relative to the storage slats 620L, forinserting fingers 1235A of the arm 1235 between the slats fortransferring containers between the bot 110 and the storage shelves 600.It is also noted that the controller 1220 may be configured to determinea state (acceleration, speed, direction, etc.) of the bot 110 as well asaccount for wheel slippage when determining the position of the botwithin the storage and retrieval system as described in, for example,U.S. patent application Ser. No. 13/326,447, filed on Dec. 15, 2011 (nowU.S. Pat. No. 8,965,619) and U.S. Provisional Patent Application No.61/423,359 filed on Dec. 15, 2010, the disclosures of which areincorporated by reference herein in their entireties.

In the area between slats 620L1, 620L2 the bot 110 may be configured toobtain odometry information from wheel encoders 720 of the bot 110 tosubstantially continuously update an estimated position of the bot 110(e.g. by adding the distance traveled by the bot as determined from therotation of one or more of the bot's wheels to the bots last qualifiedposition or any other suitable previously determined position of thebot). The estimated position of the bot 110 may be based off of, forexample, the position of the last slat 620L1 detected and qualified(e.g. the location is verified through comparison with the structurefile) by the bot 110 (FIG. 13F, Block 17960). For example, when the bot100 encounters a subsequent slat 620L2 in the direction of travel 799through the picking aisle 130A the bot 110 calculates its estimatedposition using the verified position of the previously detected slat620L1 and the information from the wheel encoders 720. The bot 110compares this estimated position against the slat position informationcontained in the structure file for slat 620L2 and if the two locations(i.e. the bots estimated position and the position of the slat 620L2obtained from the structure file) coincide within the predeterminedtolerance then the bot 110 knows substantially exactly where it islocated within the picking aisle 130A and the bot's position within thepicking aisle 130A is updated by, for example, the bot controller 1220.If the estimated location of the bot 110 (when the sensor senses thesubsequent slat 620L2) is confirmed using the information in thestructure file then the slat/bot location is qualified. If there is nomatch or confirmation then the signal output from one or more of thesensors 17700, 17701 is ignored and the substantially exact position ofthe bot is not updated, rather the controller 1220 of the bot continuesto use the estimated position obtained from the wheel encoders 720 untilthe location of a subsequently sensed slat is confirmed/qualified. It isnoted that in the aspects of the disclosed embodiment, the bot odometrymay be reset each time a slat position is qualified. The resetting ofthe bot odometry may substantially eliminate any built up tolerance orother cumulative tracking errors generated by, for example, the wheelencoders 720. Alternatively, the bot odometry may not be reset when eachslat is qualified such that the bot controller or any other suitablecontroller of the storage and retrieval system may be configured toaccount for any tolerance or cumulative tracking errors in the wheelencoders 720 when qualifying the locations of the slats and determininga position of the bot.

Referring again to FIG. 13A in the aspects of the disclosed embodimentthe bot 110 may also include one or more suitable case sensors 1715,1716 such as those described above configured for sensing case units 101stored on the shelves 600 in respective seated positions. Somenon-limiting examples, of case unit sensors can be found in, forexample, U.S. patent application Ser. No. 12/757,312, filed on Apr. 9,2010 (now U.S. Pat. No. 8,425,173), previously incorporated by referenceherein. The case sensors 1715, 1716 may be configured to allow the bot110 to sense each case unit 101 as the bot travels along a pickingaisle. The case sensors 1715, 1716 may be connected to any suitablecontroller such as, for example, control server 120 and/or botcontroller 1220 such that patterns or sequences of case units 101 may berecognized for assisting in a location determination of the bot 110. Forexample, the control server 120 may include a “map” or “fingerprint” ofcase units (including their respective sizes, positions, spacing betweenthe case units, etc.) for each picking aisle. As the bot 110 travelsthrough the picking aisle the controller, such as control server 120 (orbot controller 1220) may receive and interpret signals from the casesensors 1715, 1716 indicating, for example, the sizes and relativepositions of the case units 101 the bot is passing. The control server120, for example, may compare these signals with the case unitmap/fingerprint (e.g. the predetermined positions of each case unit asdetermined by the controller) for determining, for example, which aislethe bot is in and which portion of the aisle the bot is in (e.g. thelocation of the bot within the aisle). In one example, as the bot 110turns down a picking aisle the case units 101 may be sensed and thecontrol server 120 may determine if the bot 110 is in the correct aislebased on the sensed case units. It is noted that the fingerprint ofcases may be dynamic as cases are added and removed from the shelves600.

As noted previously, the storage and retrieval system includes adisturbance identification and restorative system 107 (FIG. 1) thatincludes a disturbance control module 107DCM (which may be the controlserver 120, or be incorporated in the control server 120 while in otheraspects the disturbance control module may be incorporated in one ormore of the control server 120 and bot controller 1220 or thedisturbance control module may be separate from but in communicationwith the control server 120 and/or the bot controller 1220), a casemapper 110M for mapping the storage space, for example, along the rackaisles 130A, a case position restorative system 107CRS (which may be oneor more of the bots 110 and the respective case detections sensor of thebot(s)) and a sensor system that includes one or more disturbancesensors (such as sensors 131-FIGS. 1, 11 and 16). For exemplary purposesthe disturbance control module 107DCM will be described as beingincorporated in the control server 120. Though in other aspects thedisturbance control module 107DCM may reside remotely from the controlserver 120 and/or bot controller 1220 and be linked or in communicationwith one or more of the control server 120 and bot controller 1220through any suitable network interface 107NI (FIG. 1).

The control server 120 may be configured (e.g. include any suitableprogramming or structure to perform the restorative tasks describedherein) to identify a disturbance and restore the case units to asuitable position/orientation including a pre-disturbance position forautomated retrieval in accordance with the ordinary warehouse managementsystem 2500 and control server 120 protocol (see FIG. 1). For example,the control server 120 (e.g. the disturbance control module 107DCM) mayinclude any suitable models representative of dynamic (motion) responseto positional disturbances, such as those described above, that mayinclude suitable tables or suitable algorithms, that model the response(e.g. displacement, velocities, accelerations, etc.) of the storage rackseating surface and other support structure (e.g. storage racks, pickingaisles, transfer decks, multilevel vertical conveyor, etc.) during adisturbance. The control server 120 may communicate in any suitablemanner with, for example, any suitable disturbance sensors 131 (e.g.accelerometers and/or other motion sensors) to identify motion of thestorage structure (FIG. 17, Block 2200). For example, the communicationbetween the disturbance sensors 131 and the control server 120 may allowthe control server 120 to identify a magnitude, direction and/orlocation (e.g. one or more regions of the storage structure affected bythe disturbance) of a disturbance within the storage and retrievalsystem. The control server 120 is configured, based on the movementmodels and information from the disturbance sensors 131, to identify orotherwise determine the scope or extent of motion at desired portionsof, for example, the storage rack structure. The control server 120 mayalso be configured to determine a disturbance type or category (e.g.localized event, bot collision, seismic event, etc.) based on themovement models and information from the disturbance sensors 131 (FIG.17, Block 2210). Subsequently the control server 120 may determine orotherwise estimate an amount of movement (e.g. a predicted variance) ofeach case unit within a storage location in the desired portion(s) ofthe storage rack structure (FIG. 17, Block 2220).

Upon detection of a disturbance the control server 120 may be configuredto command a shutdown of bots 110, multilevel vertical conveyors and/orother active components of the storage and retrieval system 100 in theaffected region (FIG. 17, Block 2230). If the disturbance is determinedto be a seismic disturbance (e.g. such as an earthquake) the controlserver 120 may be configured to command a shutdown of all automationwithin the storage and retrieval system. After the disturbance subsidesthe control server 120 may be configured to initialize the storage andretrieval system 100 in any suitable manner (FIG. 17, Block 2240). Inone aspect, initialization of the storage and retrieval system 100 maybe automatic while in another aspect initialization may include manualor operator input. It is noted that bot 110 initialization may includebot location determination (e.g. using sensors on the bot as describedherein) relative to the storage spaces of the storage racks (e.g. in astorage rack space reference frame). In one aspect the control server120 may be configured to monitor the magnitude of the disturbance indifferent areas, such as areas DR1, DR2, DR3, DR4 (FIGS. 9-11), of thestorage and retrieval system such that areas in which the disturbance isbelow a predetermined threshold may be returned to normal operation(e.g. fulfilling orders or replenishing the storage racks) while areasin which the disturbance is above the predetermined threshold may bedesignated for restorative action. It is noted that there may be anysuitable number of monitored areas that may be established in anysuitable manner. For example, the monitored areas may correspond to oneor more storage levels SL1, SL2, SL3, portions of one or more storagelevels or any suitable geographic (e.g. horizontal and/or vertical)grouping of storage structure components.

Referring again to FIG. 13A, the case mapper 110A (FIGS. 11 and 16) maybe any apparatus capable of mapping the presence or absence of caseunits within the storage space. As will be described below, the casemapper 110M shown in FIG. 16 may be incorporated into the bot 110. Thebot 110, incorporating the case mapper 110M, is shown as being unloadedbut in other aspects the bot 110 may be loaded (e.g. transporting one ormore case units). In one aspect, a loaded bot 110 may map case unitswhile moving to transfer its load to a multilevel vertical conveyor 150.The mapper 110M incorporated into the bot 110, enables a bot commandedto pick loads to perform mapping when proceeding to pick/placedestinations. The case mapper 110M may include a case scanning systemhaving case sensors, such as one or more of the bot sensors describedabove, and a controller such as control server 120 (and/or botcontroller 1220) that compares predetermined storage locations of caseunits and/or pickfaces with actual locations of the case units and/orpickfaces as will be described below. In other aspects, the case mapper110M may be capable of mapping a location of any suitable features ofthe storage structure or any objects located therein. The case scanningsystem may be configured to update a storage and retrieval systemdatabase with the actual location of the case unit(s)/pickface(s) wherea variance of the unit(s)/pickface(s) is below, for example, apredetermined threshold such that the case unit(s)/pickface(s) do notrequire handling/repositioning. Missing cases may be identified andmarked for any suitable restorative action (e.g. such as notifying anoperator of the storage and retrieval system and/or automated aislescanning for missing cases).

In one aspect, as noted above, the case mapper 110M may be one or moreof the bots 110 traversing the storage structure that can continuouslyor on demand scan the locations of the case units in the storagestructure (either opportunistically as the bot happens to travel throughan area affected by the disturbance during the course of normaloperation or deliberately such as with a command for the case mapper/botto scan a predetermined area of the storage racks). In still otheraspects the case mapper may be included on a dedicated case mapperdevice or mapping bot. In one aspect, the case mapper(s) may be incommunication with the control server 120 where the control server 120queues one or more case mappers for mapping locations of the storage andretrieval system 100 based on predetermined criteria such as a predictedvariance of case units/pickfaces, a magnitude of the disturbance indifferent areas of the storage and retrieval system (e.g. based on apredetermined disturbance magnitude threshold) and areas in whichpickfaces having multiple case units are stored (FIG. 17, Block 2250).It is noted that the control server 120 may command multiple casemappers to substantially simultaneously map parallel/adjacent pickingaisles and/or command multiple case mappers to map a common pickingaisle (e.g. more than one case mapper is in a picking aisle at onetime).

In an aspect of the disclosed embodiment, the case mapper may includeany suitable number or type of case sensor (e.g. optical sensors,lasers, camera, or sensors, such as for example, the case sensors 17701,17700, 1717, 1715, 1716) for mapping the locations and/or orientationsof the case units and the pickfaces formed by the case units. The casesensors may allow, for example, a bot 110 to map case units (includingtheir respective sizes, positions, orientations, spacing between thecase units, etc.) stored within a rack aisle 130A and any case unitslocated within a path of the bot as the bot 110 moves along the rackaisle 130A. In an aspect of the disclosed embodiment, the case sensorsmay be configured to generate a map of the rack aisle (or of at least aportion thereof) of case(s) (which may be one or more) seated on a shelfof the given rack aisle (see FIG. 13G which graphically illustrates aprofile, though the map may be embodied in any suitable format,including tabular form, bit map, etc.) as the bot 110 moves up and downthe rack space using the various sensors of the bot and in the mannersdescribed above with respect to case unit scanning and bot locationdetermination. The rack aisle or case unit map may be generated, in oneembodiment, coincident with a bot traversing a rack aisle 130A to pickor place case payloads. In other aspects, the rack aisle map may begenerated at any time, whenever a rack aisle map may be desired by thesystem such as, for example, after a seismic event occurs. Referring nowto FIG. 13G, the rack aisle map may contain a profile of the case unitsand slots or spaces and their respective arrangement within a given rackaisle. Any suitable controller, such as control server 120 (FIG. 1) orthe bot controller 1220 (which may access a map of the storage systemthrough any suitable memory of the storage and retrieval system) may, asdescribed above, include a map of the storage system including thepredetermined storage locations/positions and/or orientations of eachcase unit within the storage system. The case map (including a measuredseated position of at least one case unit) generated by the bot 110 ordedicated case mapper may be compared in any suitable manner with themap (including a predetermined storage position corresponding to the atleast one case unit before the disturbance) stored in, e.g., the controlserver 120 for determining a location of the bot 110 (or dedicated casemapper) as well as for verifying the locations and orientations of thecase units within the storage structure affected by the disturbance(FIG. 17, Block 2260). As may be realized, the control server 120 may beconfigured to determine (e.g. using the movement models and/ordisturbance sensor data) a maximum displacement or range of displacementfor identifying a predicted variance between a predicted seated position(e.g. the position after the disturbance as determined by the movementmodels and disturbance sensor data) and the predetermined position ofthe at least one case unit and generate a command with information forcase unit position correction based on a variance type (which will bedescribed below). It is noted that the variance may be determined forindividual case units, for pickfaces and/or for individual cases withina pickface. As may also be realized, the control server 120 may also beconfigured to identify (e.g. based on the models and sensor data) whererestorative action may begin. For example, the control server 120 mayinclude criteria for establishing a sequence of restorative actionwhere, for example, areas least impacted by the disturbance are restoredbefore areas that are affected to a greater extent by the disturbance orvice versa. In other aspects, the areas affected by the disturbance maybe prioritized for restorative action in any suitable sequence ormanner.

As may be realized and as noted above, any other suitable bot locationmethods (such as those described above) may be used in conjunction withthe case scanning to generate the case unit map. It is noted that, inone aspect, the case unit map of the storage structure is continuallyupdated by, for example, the control server 120 as cases are inducted orremoved from the storage and retrieval system. In another aspect thecase unit map may be updated by the control server using informationprovided by the bot 110 as the bot 110 scans the case units as the bottravels through the storage and retrieval system. In other aspects thecase unit map may be generated in any suitable manner.

As noted above, after a disturbance, such as a seismic or other eventthat causes movement of the storage structure, the control server 120may initialize mapping of the case units within the storage structure(as described above) to identify or otherwise determine measuredvariances (e.g. the variance, as determined by the control server 120,based on mapper data from the case mapper and the predeterminedlocations of the case units/pickfaces) between measured seated positionsand the predetermined positions of case units/pickfaces where thevariances include case units that are located within a travel path ofthe bots 110 (i.e. substantially obstructing a picking aisle or transferdeck or other area in which the bots travel), case units thatsubstantially have not moved on the storage racks and are still useableby the bots 110, case units that have moved or shifted on the storageracks but are in a known state and are useable by the bot, and caseunits that have moved to an unknown state or moved from a predeterminedlocation or the orientation of the case unit has moved from apredetermined orientation of the case unit such that the case unit isunusable by the bot. It is noted that, as will be described below, casesthat are out of their predetermined storage location by a predeterminedamount can be picked from the storage shelf, re-justified/repositionedon the storage shelf, picked and replaced in a predetermined location orremoved from the storage racks. It is also noted that the control server120 may be configured to compare the measured variance with thepredicted variance for updating the movement models to increase theaccuracy of subsequently determined predicted variances.

The control server 120 may be configured to command the storage andretrieval system to take remedial or otherwise restorative action inresponse to the results of the case unit mapping (FIG. 17, Block 2270).The remedial or otherwise restorative action taken by the storage andretrieval system in response to the results of the case unit mappingdepends on, for example, the disposition of case units (e.g. thevariance type). For example, in the instance where a case unit islocated within a travel path of the bots 110, a controller, such ascontrol server 120 or bot controller 1220, may be configured to conveythe location of the block travel path to an operator of the storage andretrieval system so that the case unit may be manually removed from thetravel path in any suitable manner by the operator. In other aspects thestorage and retrieval system may include bots configured to pick up caseunits from the travel paths and transport the case units to, forexample, an outbound multilevel vertical conveyor for transport out ofthe storage and retrieval system.

Where a case unit has substantially not moved within the storagestructure the bot 110 may be configured and instructed, by any suitablecontroller such as control server 120 or bot controller 1220, to pickthe case unit from the storage location and reposition the case unit(using for example the alignment capabilities of the bot payload area asdescribed above, e.g. the pusher, fence, etc.) in the same storagelocation on the storage shelf. In another aspect the bot may pick thecase unit from the storage location and transport the case unit to a newstorage location. It is noted that where the case unit is moved to a newstorage location the position of the case unit may be dynamicallyupdated in a database of, for example, the control server 120 (e.g. amaster stored map of the case unit locations) that identifies thelocation of each case unit in the storage and retrieval system.

Where the case units have moved on the storage racks but are in a knownstate and are useable by the bot any suitable controller may beconfigured to dynamically update the master stored map to reflect new orsubsequent positions of any case units that have moved. Here the caseunits may have moved from a respective predetermined position on thestorage shelf to a new or subsequent position that is different than thepredetermined position due to, for example, the effects of the seismicor other event on the case units. Here the bot 110 or a dedicated casemapper may scan the case units as described above and convey informationpertaining to the mapped case units to any suitable controller, such ascontrol server 120. The controller 120 may be configured to dynamicallyupdate the master stored map of the case unit locations so that the newor subsequent positions (e.g. the positions the case units moved to as aresult of the seismic or other event) of the respective cases replacethe predetermined positions in the stored case unit map so that thestorage and retrieval system operates based on the subsequent positionsof any case units that moved. As may be realized, the bot 110 may pickthe case unit from the new or subsequent storage location and repositionthe case unit (using for example the alignment capabilities of the botpayload area as described above, e.g. the pusher, fence, etc.) in thesame new or subsequent storage location on the storage shelf.

Where the case units have moved to an unknown state or are unusable bythe bot, the bot 110 may be configured to execute a “gross” pick bygrabbing everything it can off of the storage rack at a particularlocation and transport the case units picked with the “gross” pickaction to an outbound multilevel vertical conveyor for transport out ofthe storage and retrieval system. The cases removed with the “gross”pick action can be determined by, for example, scanning the remainingcases on the storage rack and comparing those mapped cases to the mapstored in the control server 120 so that the locations of the case unitsin the storage and retrieval system can be dynamically updated. Inanother aspect, the bot may be configured to scan, for example, abarcode or other identifying indicia on the case units removed with the“gross” picking action for identifying these cases to, for example, thecontrol server 120 for dynamically updating the case unit map. Where thebot 110 is unable to perform a “gross” picking action any suitablecontroller, such as control server 120 or bot controller 1220, may beconfigured to convey a location of the case units in need ofrepositioning to an operator of the storage and retrieval system so thatthe operator can reposition the case units as needed within the storagestructure. As may be realized, after repositioning of the case unit(s)the bot 110 may scan the case units adjusted by the operator record theSKU and/or barcode of each pickface or case unit as well as the caseposition (based on, e.g., encoder readings or other position identifyingsensors of the bot) for updating the case unit database of, for example,the control server. It is noted that a manually operated bar code readermay be used in tandem with the scanning abilities of the bot 110 to, forexample, simultaneously record the SKU and/or barcode of each pickfaceor case unit as well as the case position for updating the case unitdatabase. It is noted that positioning the bar code and other case unitidentifying indicia in a consistent location on each case unit may allowthe updating of the inventory (e.g. case unit) database to be fullyautomated (e.g. substantially without manual intervention).

As may be realized there may be instances where one or more of theconditions (e.g. variance types) described above exist after a seismicor other event that may cause movement of the case units in the storageand retrieval system. It should be noted that any suitable combinationof remedial actions described above may be employed to update the caseunit database and/or rearrange the case units in the storage andretrieval system in any suitable manner.

As may be realized, the storage and retrieval system may includedisturbance sensors 131 (FIG. 1) such as accelerometers or other motiondetecting devices that are configured to detect seismic events and/orother motion of the storage structure that may cause movement of thecase units within the storage structure. Any suitable controller, suchas control server 120 and or bot controller 1220, may be configured toreceive signals from these disturbance sensors 131 and upon receipt ofthe signals instruct one or more bots 110 (or a dedicated scanning bot)to perform a mapping of the storage structure so that any case unitsthat may have been moved from their predetermined position and/ororientation can either be removed from the storage and retrieval systemor repositioned within the storage and retrieval system in the mannerdescribed above. As may be realized, the instructions to the one or morebots may be issued after a predetermined amount of time after thesignals from the accelerometers is received so that mapping does notoccur during the seismic event. In other aspects, the mapping of thestorage structure after a seismic event or other movement of the storagestructure may be initiated in any suitable manner. It is noted that thecase units removed from the storage and retrieval system may bere-inducted into the system as, for example, new inventory items in anysuitable manner.

The structure, such as structure 130, of the storage and retrievalsystems described herein may be configured to sustain predeterminedloads placed on the structure by normal service and events such as, forexemplary purposes only, earthquakes as defined by local and federalcodes. As an example, these loads may include the dead weight of thestructure, inventory stored in and transferred throughout the structure,the bots 110, seismic loads, thermal expansion and sufficient stiffnessfor bot control and positioning. The structure of the storage andretrieval systems 100 may also be configured for ease of assembly,maintenance access, modularity and efficient and economical materialuse. Non-limiting examples, of the codes to which the structure may beconfigured to comply include ASCE7, AISC Manual of Steel Construction,AISC Code of Standard Practice for Steel Buildings and Bridges, RMI(Rack Manufacturers Institute) and Materials Handling Industry ofAmerica. The structural components (e.g. vertical/horizontal supports,floors, etc.) of the storage and retrieval systems described herein mayalso include wear and/or corrosion resistant coatings including surfacetreatments such as, for example, paints and galvanization. In oneexample, the coating may include a base coating and a contrasting topcoating such that any wearing of the top coating will be readilyvisible. In alternate embodiments the coatings and surface treatmentsmay have any suitable configurations and colors so that wear is easilyidentifiable.

The storage structure 130 may be configured to be rapidly assembled andinstalled in the field in a “bottom up construction” (e.g. each level isconstructed sequentially such that lower levels in the sequence aresubstantially completed before the upper levels in the sequence). Forexample, the vertical supports 612 and/or horizontal supports 610, 611,613 (and/or any other components of the storage structure 130) may bepredrilled, punched or otherwise preformed with assembly holes. Baseplates for supporting each of the vertical supports 612 and for securingthe vertical supports 612 to a floor may be preinstalled on therespective vertical supports 612. Templates may be provided for locatinganchor bolts in the floor for securing the base plates. The verticalsupports 612 may be configured with brackets for receiving and at leastpartially securing the horizontal supports 610, 611, 613. Preformedholes in the horizontal supports may also be used to, for example, boltor otherwise fasten the horizontal supports to the vertical supports.The shelves 600 may be field assembled from prefinished components andaffixed to, for example, the horizontal supports 610, 611, 613 in anysuitable manner. Separate braces such as ties may be also provided forsecuring the horizontal supports 610, 611, 613. The transfer decks 130Bmay be installed in a manner substantially similar to that describedabove. The floors and decking of the storage structure 130 may beaffixed to the horizontal supports in any suitable manner, such as forexample through fasteners. The floors and decking may be preformed withinstallation holes to allow for securing the floors and decking to thehorizontal supports. The tracking 1300 (FIG. 11) for the bots 110 may bepreinstalled on or within the aisle flooring or installed in the fieldusing for example, preformed holes or other installation guides such astemplates. It is noted that in alternate embodiments, the storagestructure 130 may be constructed and assembled in any suitable manner.

In accordance with one or more aspects of the disclosed embodiment anautomated storage and retrieval system is provided. The storage andretrieval system includes a storage structure with storage racksconfigured to support case units, a controller and a picking aisleconfigured to provide access to the case units within the storagestructure. Each case unit has a predetermined storage position in whichthe case unit is seated on the storage racks where the predeterminedstorage position is determined by the controller. An automated casemapper is configured to traverse the picking aisle and is configured toidentify a seated position of at least one case unit within the storagestructure. The controller is configured to compare the identified seatedposition of the at least one case unit received from the case mapperwith the predetermined position of the at least one case unit andidentify a variance between the identified seated position and thepredetermined position of the at least one case unit and generate acommand with information for case unit position correction based on avariance type.

In accordance with one or more aspects of the disclosed embodiment,where the controller is configured to dynamically allocate thepredetermined position of each case unit within the storage structure.

In accordance with one or more aspects of the disclosed embodiment, thecontroller is configured to effect correction of a position of one morecase units by dynamically updating the predetermined position of the oneor more case units with a respective identified seated position of eachcase unit.

In accordance with one or more aspects of the disclosed embodiment, thecase mapper comprises an autonomous transport vehicle configured to pickand place case units at storage locations within the storage structure.

In accordance with one or more aspects of the disclosed embodiment, thecontroller is configured to effect correction of a position of one ormore case units by providing the location of the one or more case unitsto an operator of the storage and retrieval system for manual removal orrepositioning of the one or more case units.

In accordance with one or more aspects of the disclosed embodiment,wherein the storage and retrieval system further includes an autonomoustransport vehicle and the controller is configured to effect correctionof a position of one or more case units by commanding the autonomoustransport vehicle to pick and reposition the one or more case units attheir respective storage locations or move the one or more case units toa different storage location. In a further aspect the controller isconfigured to dynamically update a case position database where the oneor more case units are moved to a different storage location.

In accordance with one or more aspects of the disclosed embodiment,wherein the storage and retrieval system further includes an autonomoustransport vehicle and the controller is configured to effect correctionof a position of one or more case units by commanding the autonomoustransport vehicle to perform a gross pick operation for picking one ormore case units from the storage structure for transport out of thestorage structure.

In accordance with one or more aspects of the disclosed embodiment, thestorage and retrieval system further includes at least one movementdetection device disposed in the storage structure and configured todetect movement of a respective portion of the storage structure and thecontroller is further configured to receive movement detection signalsfrom the movement detection device and issue a command to the casemapper to identify a position of the case units within the storagestructure.

In accordance with one or more aspects of the disclosed embodiment amethod is provided. The method includes providing an automated storageand retrieval system with a storage structure with storage racksconfigured to support case units, a controller, where each case unit hasa predetermined storage position in which the case unit is seated on thestorage racks and the controller is configured to determine thepredetermined storage position, a picking aisle configured to provideaccess to the case units within the storage structure, and an automatedcase mapper configured to traverse the picking aisle, the automated casemapper being configured to identify a seated position of at least onecase unit within the storage structure. The method also includescomparing, with the controller, the identified seated position of the atleast one case unit received from the case mapper with the predeterminedposition of the at least one case unit and identify a variance betweenthe identified seated position and the predetermined position of the atleast one case unit, and generating, with the controller, a command withinformation for case unit position correction based on a variance type.

In accordance with one or more aspects of the disclosed embodiment, themethod includes dynamically allocating, with the controller, thepredetermined position of each case unit within the storage structure.

In accordance with one or more aspects of the disclosed embodiment, themethod includes effecting, with the controller, correction of a positionof the at least one case unit by dynamically updating the predeterminedposition of the at least one case unit with a respective identifiedseated position of each case unit.

In accordance with one or more aspects of the disclosed embodiment, thecase mapper comprises an autonomous transport vehicle configured to pickand place case units at storage locations within the storage structure.

In accordance with one or more aspects of the disclosed embodiment, themethod includes effecting, with the controller, correction of a positionof the at least one case unit by providing the location of the at leastone case unit to an operator of the storage and retrieval system formanual removal or repositioning of the at least one case unit.

In accordance with one or more aspects of the disclosed embodiment, themethod includes providing an autonomous transport vehicle, andeffecting, with the controller correction of a position of the at leastone case unit by commanding the autonomous transport vehicle to pick andreposition the at least one case unit at a respective storage locationor move the at least one case unit to a respective different storagelocation.

In accordance with one or more aspects of the disclosed embodiment, themethod includes dynamically updating, with the controller, a caseposition database where the at least one case unit is moved to arespective different storage location.

In accordance with one or more aspects of the disclosed embodiment, themethod includes providing an autonomous transport vehicle, andeffecting, with the controller, correction of a position of the at leastone case unit by commanding the autonomous transport vehicle to performa gross pick operation for picking the at least one case unit from thestorage structure for transport out of the storage structure.

In accordance with one or more aspects of the disclosed embodiment, themethod includes providing at least one movement detection devicedisposed in the storage structure and configured to detect movement of arespective portion of the storage structure, and receiving, with thecontroller, movement detection signals from the movement detectiondevice and issuing a command to the case mapper to identify a positionof the case units within the storage structure.

In accordance with one or more aspects of the disclosed embodiment anautomated storage and retrieval system for cases in a case storage roomis provided. The automated storage and retrieval system includes astorage structure with storage racks, the storage racks having a seatingsurface configured to support case units where a position of each caseunit is nondeterministic for each storage location on the storage racks;a controller, where each case unit has a predetermined storage positionin which the case unit is seated on the storage racks and the controlleris configured to determine the predetermined storage position; a pickingaisle configured to provide access to the case units within the storagestructure; and a seismic disturbance restorative system includingseismic disturbance motions sensors disposed on the storage racks, aseismic disturbance control module in communication with the seismicdisturbance sensors and configured to identify a seismic disturbance,and an automated case mapper configured to traverse the picking aisle,the automated case mapper being in communication with and initialized bythe seismic disturbance control module to identify a seated position ofat least one case unit within the storage structure.

In accordance with one or more aspects of the disclosed embodiment, theseismic disturbance control module is further configured to compare theidentified seated position of the at least one case unit received fromthe case mapper with the predetermined position of the at least one caseunit and identify a variance between the identified seated position andthe predetermined position of the at least one case unit, and generate acommand with information for case unit position correction based on avariance type.

In accordance with one or more aspects of the disclosed embodiment, thecase units are positioned in the storage racks in a close packedspacing.

It should be understood that the exemplary embodiments described hereinmay be used individually or in any suitable combination thereof. Itshould be understood that the foregoing description is only illustrativeof the aspects of the disclosed embodiment. Various alternatives andmodifications can be devised by those skilled in the art withoutdeparting from the aspects of the disclosed embodiment. Accordingly, theaspects of the disclosed embodiment are intended to embrace all suchalternatives, modifications and variances that fall within the scope ofthe appended claims. Further, the mere fact that different features arerecited in mutually different dependent or independent claims does notindicate that a combination of these features cannot be advantageouslyused, such a combination remaining within the scope of the aspects ofthe invention.

What is claimed is:
 1. A warehouse automated storage and retrievalsystem for transport and storage of cases of wares in a ware casestorage room, the warehouse automated storage and retrieval systemcomprising: a storage structure with an array of storage locationsdistributed on at least one storage shelf having a seating surfaceconfigured to support ware case units freely throughout the seatingsurface on the at least one storage shelf; a controller, where each warecase unit has a predetermined storage position in which the ware caseunit is seated on the at least one storage shelf and the controller isconfigured to determine the predetermined storage position; and adisturbance restorative system including at least one disturbancedetection sensor disposed in an aisle adjoining the at least one storageshelf, a disturbance control module in communication with the at leastone disturbance detection sensor and configured to identify adisturbance to at least one of the ware case units and determine adisturbance type causing the disturbance from different disturbancetypes, and wherein the disturbance restorative system is configured sothat the disturbance restorative system initiates a corrective actionfrom a number of different corrective actions based on the differentdisturbance types.
 2. The warehouse automated storage and retrievalsystem of claim 1, wherein the disturbance restorative systeminitializes an automated guided vehicle dependent on the correctiveaction initiated and the automated guided vehicle traverses the storagestructure relative to the at least one storage shelf to identify aseated position of at least one ware case unit within the storagestructure and the disturbance control module is further configured tocompare the identified seated position of the at least one ware caseunit, determined with the automated guided vehicle and the predeterminedposition of the at least one ware case unit, and identify a variancebetween the identified seated position of the at least one ware caseunit and the predetermined position of the at least one ware case unit.3. The warehouse automated storage and retrieval system of claim 2,wherein the disturbance control module is further configured to generatea command with information for ware case unit position correction basedon a variance type.
 4. The warehouse automated storage and retrievalsystem of claim 1, wherein the ware case units are positioned in the atleast one storage shelf in a close packed spacing.
 5. The warehouseautomated storage and retrieval system of claim 1, wherein thecontroller is configured to dynamically allocate each ware case unitinto a respective predetermined dynamically allocated storage position.6. The warehouse automated storage and retrieval system of claim 5,wherein the controller is further configured to effect correction of aposition of the at least one ware case unit by dynamically updating thepredetermined dynamically allocated storage position of the at least oneware case unit with a respective identified seated position of each warecase unit.
 7. The warehouse automated storage and retrieval system ofclaim 5, wherein the controller is further configured to effectcorrection of a position of the at least one ware case unit bycommanding the automated guided vehicle to pick and reposition the atleast one ware case unit at a respective dynamically allocated storageposition or move the at least one ware case unit to a respectivedifferent dynamically allocated storage position.
 8. The warehouseautomated storage and retrieval system of claim 5, wherein the automatedguided vehicle traverses the storage structure relative to the at leastone storage shelf to identify a seated position of at least one warecase unit within the storage structure and the disturbance controlmodule is further configured to compare the identified seated positionof the at least one ware case unit, determined with the automated guidedvehicle and the predetermined dynamically allocated storage position ofthe at least one ware case unit, and identify a variance between theidentified seated position of the at least one ware case unit and thepredetermined dynamically allocated storage position of the at least oneware case unit.
 9. The warehouse automated storage and retrieval systemof claim 2, wherein the automated guided vehicle is configured to pickand place ware case units at storage locations within the storagestructure.
 10. The warehouse automated storage and retrieval system ofclaim 1, wherein the controller is further configured to effectcorrection of a position of the at least one ware case unit by providingthe location of the at least one ware case unit to an operator of thewarehouse automated storage and retrieval system for manual removal orrepositioning of the at least one ware case unit.
 11. The warehouseautomated storage and retrieval system of claim 2, wherein the automatedguided vehicle traverses the storage structure to identify a seatedposition of the at least one ware case unit coincident with theautomated guided vehicle traversing the storage structure relative tothe at least one storage shelf for picking and/or placing of anotherware case unit at another storage location.
 12. A method fortransporting and storing cases of wares in a ware case storage room witha warehouse automated storage and retrieval system, the methodcomprising: providing a storage structure with an array of storagelocations distributed on at least one storage shelf having a seatingsurface configured to support ware case units where a position of eachware case unit is nondeterministic for each storage location on the atleast one storage shelf; determining, with a controller, a predeterminedstorage position of each ware case unit, freely throughout the seatingsurface on the at least one storage shelf; identifying a disturbance toat least one of the ware case units, with a disturbance control moduleof a disturbance restorative system, and determining a disturbance typecausing the disturbance from different disturbance types; providing atleast one disturbance detection sensor disposed in an aisle adjoiningthe at least one storage shelf, where the disturbance control module isin communication with the at least one disturbance detection sensor; andgenerating different case corrective actions based on the differentdisturbance types from different case corrective actions correspondingto the determined type disturbance.
 13. The method of claim 12, furthercomprising identifying a seated position of at least one ware case unitwithin the storage structure with an automated guided vehicle traversingthe storage structure relative to the at least one storage shelf andcomparing, with the disturbance control module, the identified seatedposition of the at least one ware case unit, determined with theautomated guided vehicle and the predetermined position of the at leastone ware case unit, and identifying a variance between the identifiedseated position and the predetermined position of the at least one warecase unit.
 14. The method of claim 13, further comprising generating,with the disturbance control module, a command with information for warecase unit position correction based on a variance type.
 15. The methodof claim 12, wherein the ware case units are positioned in the at leastone storage shelf in a close packed spacing.
 16. The method of claim 12,further comprising initializing an automated guided vehicle with casemapping commands from different case mapping commands corresponding tothe determined type disturbance.
 17. The method of claim 16, furthercomprising dynamically allocating, with the controller, each ware caseunit into a respective predetermined dynamically allocated storageposition.
 18. The method of claim 17, further comprising effecting, withthe controller, correction of a position of the at least one ware caseunit by dynamically updating the predetermined dynamically allocatedstorage position of the at least one ware case unit with a respectiveidentified seated position of each ware case unit.
 19. The method ofclaim 17, further comprising effecting, with the controller, correctionof a position of the at least one ware case unit by commanding theautomated guided vehicle to pick and reposition the at least one warecase unit at a respective dynamically allocated storage position or movethe at least one ware case unit to a respective different dynamicallyallocated storage position.
 20. The method of claim 16, furthercomprising identifying a seated position of at least one ware case unitwithin the storage structure with an automated guided vehicle traversingthe storage structure relative to the at least one storage shelf andcomparing, with the disturbance control module, the identified seatedposition of the at least one ware case unit, determined with theautomated guided vehicle and the predetermined dynamically allocatedstorage position of the at least one ware case unit, and identify avariance between the identified seated position and the predetermineddynamically allocated storage position of the at least one ware caseunit.
 21. The method of claim 16, wherein the automated guided vehicleis configured to pick and place ware case units at storage locationswithin the storage structure.
 22. The method of claim 16, furthercomprising effecting, with the controller, correction of a position ofthe at least one ware case unit by providing the location of the atleast one ware case unit to an operator of the warehouse automatedstorage and retrieval system for manual removal or repositioning of theat least one ware case unit.
 23. The method of claim 16, wherein theautomated guided vehicle traverses the storage structure to identify aseated position of the at least one ware case unit coincident with theautomated guided vehicle traversing the storage structure relative tothe at least one storage shelf for picking and/or placing of anotherware case unit at another storage location.